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Duration 14 hours
Course Outline
Introduction to the WrenAI API
- Overview of API features and capabilities
- Authentication and security fundamentals
- Navigating the API documentation
Handling Data and SQL Generation
- Submitting natural language queries
- Interpreting and verifying generated SQL
- Optimizing SQL outputs for enhanced performance
Developing Applications with the API
- Linking backend services to WrenAI
- Constructing data-driven endpoints
- Implementing error handling and logging strategies
Charting and Visualization through the API
- Requesting chart objects via the API
- Integrating charts within internal applications
- Tailoring chart appearance and user interactions
Integration with Internal Toolsets
- Embedding dashboards in team portals
- Automating workflows using WrenAI endpoints
- Applicable use cases for operations and reporting teams
Advanced Usage and Scalability
- Executing batch queries and bulk data processing
- Managing concurrency and rate limits
- Scaling integrations within enterprise environments
Security and Governance
- Overseeing API keys and access permissions
- Considerations for audit logging and compliance
- Best practices for secure integration methods
Future Roadmap and Extensions
- AI-assisted enhancements in query generation
- Expanding application capabilities with advanced endpoints
- Exploring upcoming features in the WrenAI ecosystem
Summary and Next Steps
Requirements
- A solid understanding of REST APIs
- Practical experience working with SQL databases
- Familiarity with backend programming languages
Target Audience
- Backend engineers
- Platform engineers
- Internal tools teams
